Critical analysis of the barriers, drivers and key stakeholders of ESG reporting in public–private partnership projects: a systematic review
官民連携プロジェクトにおけるESG報告の障壁、推進要因、主要ステークホルダーの批判的分析:系統的レビュー (AI 翻訳)
Caleb Boadi, Robert Osei-Kyei, Vivian WY Tam
🤖 gxceed AI 要約
日本語
本研究は、官民連携(PPP)プロジェクトにおけるESG報告の障壁と推進要因を系統的レビューにより明らかにした。主な障壁として、ESGのメリット理解不足、報告フレームワークの未標準化、コスト負担が挙げられ、推進要因として規制開示要求とプロジェクトパフォーマンス向上が特定された。多様なステークホルダーの利害調整がESG報告の透明性と堅牢性を左右する。
English
This systematic review identifies seven barriers and six drivers for ESG reporting in public-private partnership (PPP) projects. Key barriers include insufficient understanding of ESG benefits, lack of standardized frameworks, and cost. Key drivers are regulatory disclosure demands and improved project performance. The study highlights the complex stakeholder network that drives transparent ESG reporting.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではPPP(PFI/コンセッション)が拡大しており、ESG報告の標準化はSSBJや有報での非財務情報開示と連動する。本レビューは、日本企業がPPP案件で直面する実務上の課題を整理し、政策立案や開示実務の改善に示唆を与える。
In the global GX context
Globally, ESG reporting in PPPs is under-researched despite growing infrastructure investment. This review provides a structured overview of barriers and drivers, relevant for policymakers and practitioners aligning with ISSB, CSRD, and other disclosure frameworks. It underscores the need for standardized reporting to enhance sustainability in public-private collaborations.
👥 読者別の含意
🔬研究者:Provides a consolidated framework of barriers and drivers for ESG reporting in PPPs, useful for future empirical studies.
🏢実務担当者:Helps corporate sustainability teams identify key challenges and leverage drivers for ESG reporting in PPP projects.
🏛政策担当者:Highlights the need for standardized ESG reporting frameworks and regulatory support to enhance PPP sustainability.
📄 Abstract(原文)
Purpose The transition from corporate social responsibility to environmental, social and governance (ESG) has brought realised benefits to businesses, including increased investor favourability, increased financial performance and enhanced brand image. Unearthing the barriers, drivers and key interested stakeholders of ESG reporting in public–private partnership (PPP) project is crucial for improving the ESG outlook of a project. While research studies have identified a range of barriers, other works have identified how these can be addressed. This study aims to uncover the critical barriers and drivers of ESG reporting and explores how they can be turned into facilitators. Design/methodology/approach This study meta-analysed and synthesised empirical studies by undertaking a systematic review. Findings Seven main barriers, six drivers and interested parties of ESG reporting of PPP projects have been identified. Significant barriers to ESG reporting of PPP project includes insufficient understanding of ESG benefits, lack of standardised reporting frameworks and the cost involved in ESG reporting. Also, key drivers for ESG reporting comprise of regulatory disclosure demands and improved project performance. Addressing these barriers and leveraging the drivers is crucial for the successful integration of ESG reporting within PPP projects for enhanced sustainability performance and long-term project success. PPP projects encompass a diverse group of stakeholders each with a vested interest in the sustainability and governance outcomes of a project. These groups form a complex network of interests that drive the need for transparent and robust ESG reporting. Originality/value This study unearths significant barriers and drivers to ESG reporting in PPP projects providing the significant motivators to ESG reporting uptake and critical challenges. The findings of this study advocate for policies that factor the importance of ESG reporting, thereby enhancing PPPs commitment to sustainable practices.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.1108/jfm-11-2024-0136first seen 2026-05-05 19:08:10
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。